Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data
Summary
Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data is a scholarly article[1].
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Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-gated-multi-modal-learning-in-hand-object-pose-changes-estimation-using-tactile-and-image-data
BibTeX@misc{4ortxyz_deep-gated-multi-modal-learning-in-hand-object-pose-changes-estimation-using-tactile-and-image-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data}}, year = {2026}, url = {https://4ort.xyz/entity/deep-gated-multi-modal-learning-in-hand-object-pose-changes-estimation-using-tactile-and-image-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data — https://4ort.xyz/entity/deep-gated-multi-modal-learning-in-hand-object-pose-changes-estimation-using-tactile-and-image-data (retrieved 2026-05-24)
